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COLING
2010

Automatic analysis of semantic similarity in comparable text through syntactic tree matching

12 years 10 months ago
Automatic analysis of semantic similarity in comparable text through syntactic tree matching
We propose to analyse semantic similarity in comparable text by matching syntactic trees and labeling the alignments according to one of five semantic similarity relations. We present a Memorybased Graph Matcher (MBGM) that performs both tasks simultaneously as a combination of exhaustive pairwise classification using a memory-based learner, followed by global optimization of the alignments using a combinatorial optimization algorithm. The method is evaluated on a monolingual treebank consisting of comparable Dutch news texts. Results show that it performs substantially above the baseline and close to the human reference.
Erwin Marsi, Emiel Krahmer
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2010
Where COLING
Authors Erwin Marsi, Emiel Krahmer
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